基于神经网络自适应预测算法的谐波检测

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Abstract Neural network has been widely used in harmonic detection with its advantages of little calculation and high precision. It can calculate each harmonic component only by single-step. However, to determine the weights of neural network requires a learning process. In order to overcome delay defect of the frequency-domain detection method, this paper proposes a new adaptive predictive algorithm based on neural network. It can predict the future time of harmonic currents according to the current data and the former N-1 historical data, achieving the harmonic real-time and fast detection. Simulation results show that the algorithm achieves high accuracy and rapid speed.

Key words： Neural network harmonic detection adaptive predictive algorithm

Received: 02 November 2010 Published: 07 March 2014

PACS:

TM464

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	Articles by authors
	Chen Shuhua
	Fu Qing
	Ma Guilong
	Liu Fengjie
	Cheng Guanglei

Cite this article:

Chen Shuhua,Fu Qing,Ma Guilong等. Harmonic Detection Based on Artificial Neural Network and Adaptive Predictive Algorithm[J]. Transactions of China Electrotechnical Society, 2011, 26(1增): 201-207.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2011/V26/I1增/201

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